Database - created from Mind Map

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Database is a shared collection of related data which will be used to support the activities of particular organization.

information shared by various categories users, to meet the needs and requirements of an organization

Database application.

Data vs information

Data Collection

Database Terms

Data Model

Schema

Instances

Database Three-Schema Architecture

(DBMS)

Big Data

Banking - all transactions , Airlines - reservations ,schedules

Data is raw material for data processing. Data relates to fact, event and transactions. Data refers to unprocessed information.

Information is data that has been processed in such a way as to be meaningful to the person who receives it. It is any thing that is communicated.

Examples- Vendor address, Date on an employee application

Examples- Vendor record, Employee application record

The process of gathering raw facts or evidence about a subject of interest in systematic way, that enables one to answer stated research questions and evaluate outcomes.

Methods allow us to systematically collect information about our objects of study (people, objects) and about the settings in which they occur.

List of methods - Questionnaire, Observation , Interviews ,Focus group ,Experimental

To support data abstraction so that different users can perceive data at their preferred level of detail.

Terms used: data models schemas instances

shows the logical structure of a database, including the relationships and constraints that determine how data can be stored and accessed.

Categories : High-level or conceptual data models – database designer , low-level or physical data models - programmer

a collection of metadata that describes the relations in a database.

A database state at a specific time defined through the currently existing content and relationship and their attributes.

- Internal level/schema - conceptual level/schema - external level/schema or view level

a collection of programs that enable users to create, maintain database and control all the access to the database.

Component of DBMS

Functions of DBMS

Advantages of Using a DBMS

Disadvantages of DBMS

Hardware, Software, Data, Users, Procedures

1. data dictionary management

2. data storage management

3. data transformation and presentation

4. security management

5.transaction management

6. backup and recovery management

7.data integrity management

8.database access languages and application programming interfaces

9. database communication interfaces 10. multiuser access control

persistent objects, types and data structures

control of concurrent users

controlling of redundancy

restricting access (security)

representation of complex relationships and integrity constraints

backup and recovery

multiple user interfaces and user views

Complexity

Size

Cost of DBMS

Higher impact of a failure

Cost of conversion

Additional hardware costs

Big data is similiar to small data but bigger

Why big data

Big Data Analytics

Aplications for big data analytics

Small data is collected with an intended purpose for analysis

Big Data, does not have an intended purpose other than data mining

increase of storange capacities

Increase of processing data

Examining large amount of data

Appropriate information

Traffic control

Telecom